National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Engineering Manager

Siteimprove
London
6 months ago
Applications closed

Related Jobs

View all jobs

Software Engineering Manager, Machine Learning

Engineering Manager – AI/ML (Computer Vision Focus)

Machine Learning Engineering Manager (Basé à London)

Machine Learning Engineering Manager (Basé à London)

Machine Learning Engineering Manager

[Urgent] Machine Learning Engineering Manager...

As aSenior Engineering Manager, you'll lead a high-performing, distributed engineering team focused on enhancing our SaaS platform. Your leadership will drive the development of scalable APIs, data structures, and an immersive UI experience, encompassing both front-end and back-end technologies with cloud-native design patterns.
You will play a pivotal role in ensuring the performance, stability, and growth of a key part of our platform while fostering engineering excellence. Core challenges you'll address include:
How do we continuously innovate to deliver exceptional value to customers?
How do we measure and improve the impact of our products?
How do we leverage the right mix of technology, data, and analytics to power our product?
If you're passionate about using cloud technology, data, and analytics to solve complex problems and make a significant impact, this role is for you.

What you will be doing

  • Technical Strategy and Roadmap:Shape the vision and strategy for our platform, aligning with business objectives and customer needs.
  • End-to-End Delivery:Own the development lifecycle from concept to launch, ensuring business goals are met. Engage in quarterly business reviews to maintain alignment with leadership.
  • Cross-Functional Collaboration:Work with product, design, data science, and marketing teams to develop innovative features. Lead, mentor, and grow your engineering team, fostering a collaborative culture.
  • Customer-Centric Focus:Stay in close contact with stakeholders, continuously gathering feedback to refine and improve the platform.
  • Data-Driven Decision Making:Leverage data and customer insights to prioritize features and enhancements. Define and track performance metrics to measure success.
  • Innovation:Explore new technologies and methodologies to keep the platform at the forefront of industry trends.
  • Communication:Clearly communicate technical strategy, progress, and vision to both internal and external stakeholders, including senior leadership.
  • Perform other related duties as assigned.

What we will require of you

  • Bachelor's degree in engineering, computer science, or a related field.
  • 8+ years of software engineering with 5+ years managing teams.
  • Proven track record of leading cross-functional teams and delivering innovation with measurable outcomes.
  • Strong analytical skills, using data to guide decisions.
  • Excellent communication and leadership abilities.

What we will love about you

  • Master's degree in computer science, engineering, data science, or related fields.
  • Experience with IAC tools like Terraform, Cloudformation, or AWS CDK.
  • Experience managing global teams.
  • Familiarity with machine learning applications.
Base pay will depend on the position, individual qualifications, market, and other operational business needs.



AeP16NtNgKPE2U56OUVnwp

PI255839420

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Get a Better AI Job After a Lay-Off or Redundancy

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.

AI Jobs Salary Calculator 2025: Work Out Your Market Value in Seconds

Why your 2024 salary data is already outdated “Am I being paid what I’m worth?” It is the question that creeps in whenever you update your CV, see a former colleague announce a punchy pay rise on LinkedIn, or notice a recruiter slide into your inbox with a role that looks eerily similar to your current one—only advertised at £20k more. Artificial intelligence moves faster than any other hiring market. New frameworks are open‑sourced overnight, venture capital floods specific niches without warning, & entire job titles—Prompt Engineer, LLM Ops Specialist—appear in the time it takes most industries to schedule a meeting. In that environment, salary guides published only a year ago already look like historical curiosities. To give AI professionals an up‑to‑the‑minute benchmark, ArtificialIntelligenceJobs.co.uk has built a simple yet powerful salary‑calculation formula. By combining three variables—role, UK region, & seniority—you can estimate a realistic 2025 salary band in less than a minute. This article explains that formula, unpacks the latest trends driving pay, & offers concrete steps to boost your personal market value over the next 90 days.

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.